{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KLHiTPXNTf2a"
      },
      "source": [
        "##### Copyright 2025 Google LLC."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "cellView": "form",
        "id": "oTuT5CsaTigz"
      },
      "outputs": [],
      "source": [
        "# @title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
        "# you may not use this file except in compliance with the License.\n",
        "# You may obtain a copy of the License at\n",
        "#\n",
        "# https://www.apache.org/licenses/LICENSE-2.0\n",
        "#\n",
        "# Unless required by applicable law or agreed to in writing, software\n",
        "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
        "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
        "# See the License for the specific language governing permissions and\n",
        "# limitations under the License."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZNM-D0pLXZeR"
      },
      "source": [
        "# Gemini API: Working with Charts, Graphs, and Slide Decks"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PRZo8H09Bs6u"
      },
      "source": [
        "Gemini models are powerful multimodal LLMs that can process both text and image inputs.\n",
        "\n",
        "This notebook shows how Gemini Flash model is capable of extracting data from various images.\n",
        "\n",
        "<a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/cookbook/blob/main/examples/Working_with_Charts_Graphs_and_Slide_Decks.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" height=30/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "CaSSapCIcoxy"
      },
      "outputs": [],
      "source": [
        "%pip install -U -q \"google-genai>=1.0.0\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "bBoPE7f7cmKA"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import time\n",
        "from glob import glob\n",
        "\n",
        "from PIL import Image\n",
        "from IPython.display import Markdown, display"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FQOGMejVu-6D"
      },
      "source": [
        "## Configure your API key\n",
        "\n",
        "To run the following cell, your API key must be stored in a Colab Secret named `GOOGLE_API_KEY`. If you don't already have an API key, or you're not sure how to create a Colab Secret, see [Authentication](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Authentication.ipynb) for an example.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "ysayz8skEfBW"
      },
      "outputs": [],
      "source": [
        "from google import genai\n",
        "from google.colab import userdata\n",
        "\n",
        "GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
        "client = genai.Client(api_key=GOOGLE_API_KEY)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YXgGPgS3oKRJ"
      },
      "source": [
        "## Setup\n",
        "You will be using images from [Priyanka Vergadia's](https://github.com/priyankavergadia) [GCPSketchnote](https://github.com/priyankavergadia/GCPSketchnote) repository. These pages contain many details that should provide a good benchmark for Gemini's capabilities.\n",
        "\n",
        "These images are on [Creative Commons Attribution 4.0 International Public License](https://github.com/priyankavergadia/GCPSketchnote/tree/main?tab=License-1-ov-file)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "NS1oM9p5gih3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "fatal: destination path 'GCPSketchnote' already exists and is not an empty directory.\n"
          ]
        }
      ],
      "source": [
        "! git clone https://github.com/priyankavergadia/GCPSketchnote.git"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "i1fOqjvEgo0g"
      },
      "outputs": [],
      "source": [
        "images_with_duplicates = glob(\"/content/GCPSketchnote/images/*\")\n",
        "\n",
        "# Removing duplicate images with different extensions\n",
        "images = []\n",
        "encountered = set()\n",
        "for path in images_with_duplicates:\n",
        "  path_without_extension, extension = os.path.splitext(path)\n",
        "  if path_without_extension not in encountered and extension != \".pdf\":\n",
        "    images.append(path)\n",
        "    encountered.add(path_without_extension)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "id": "0bt70StmFURP"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "72"
            ]
          },
          "execution_count": 29,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "len(images)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Z8u0xWYjILPl"
      },
      "source": [
        "## Interpreting a single chart\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "id": "e6PvGd0BISWL"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "100  129k  100  129k    0     0   739k      0 --:--:-- --:--:-- --:--:--  742k\n"
          ]
        }
      ],
      "source": [
        "chart_path_gif = \"chart.gif\"\n",
        "!curl https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/gemini_final_text_table_amendment_13_12_23.gif > $chart_path_gif"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ep6gUxsVJrJW"
      },
      "source": [
        "The image needs to be transformed into a `.jpg`, since `.gif` is not supported by Gemini API at the moment."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "id": "Qly7dENaJcfW"
      },
      "outputs": [],
      "source": [
        "chart_path_jpg = \"chart.jpg\"\n",
        "image = Image.open(chart_path_gif)\n",
        "image = image.convert('RGB')\n",
        "image.save(chart_path_jpg)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZtNyBmqHKOfv"
      },
      "source": [
        "Now, you will define helper functions for shrinking the image and querying the model with images.\n",
        "\n",
        "**NOTE**: In this example you will be using Pillow library to load images, but using `Image` from `IPython.display`, or using dictionary with `mime_type` and data fields will also work."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "id": "jChOqYAsKUtM"
      },
      "outputs": [],
      "source": [
        "# Make images fit better on screen and decrease data used for requests\n",
        "def shrink_image(image: Image, ratio = 2):\n",
        "  width, height = image.size\n",
        "  return image.convert('RGB').resize((width//ratio, height//ratio))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "id": "DfLMfEN5d4o8"
      },
      "outputs": [],
      "source": [
        "from google.genai import types\n",
        "MODEL_ID = \"gemini-2.5-flash\"  # @param [\"gemini-2.5-flash-lite\", \"gemini-2.5-flash\", \"gemini-2.5-flash\",\"gemini-2.5-pro\",\"gemini-3-pro-preview\"] {\"allow-input\": true, \"isTemplate\": true}\n",
        "\n",
        "def generate_content_from_image(prompt, image_paths):\n",
        "  response = client.models.generate_content(\n",
        "      model = MODEL_ID,\n",
        "      contents=[prompt] + [shrink_image(Image.open(image_path)) for image_path in image_paths],\n",
        "  )\n",
        "  return response.text"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "id": "Npn1RnwfKq5Q"
      },
      "outputs": [
        {
          "data": {
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            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=639x796>"
            ]
          },
          "execution_count": 34,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "shrink_image(Image.open(chart_path_jpg), 3)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IdiDTznzeFWL"
      },
      "source": [
        "Now, let's see how the LLM can handle the following query."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "id": "ChCb9375KnHc"
      },
      "outputs": [
        {
          "data": {
            "text/markdown": [
              "In the MATH benchmark, Gemini Ultra scores 53.2% and GPT-4 scores 52.9%. Therefore, Gemini Ultra is better in the 'Math' category in the MATH benchmark.\n"
            ],
            "text/plain": [
              "<IPython.core.display.Markdown object>"
            ]
          },
          "execution_count": 35,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "prompt = \"\"\"You are a tool that interprets tables. Which model (Gemini Ultra or GPT-4) is better in the 'Math' category in MATH benchmark?\"\"\"\n",
        "Markdown(generate_content_from_image(prompt, [chart_path_jpg]))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kmqzUGpNXbAJ"
      },
      "source": [
        "## Extracting information from a single slide\n",
        "You will use the model to extract information from a single slide. In this case graph describing pub/sub. It is not a complicated usecase, however it will showcase, how you can call the model.\n",
        "\n",
        "You need to download an example chart.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "id": "ZpFbQycqtM61"
      },
      "outputs": [],
      "source": [
        "image_path = \"/content/GCPSketchnote/images/pubsub.jpg\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "id": "U-6LGxOJBMnO"
      },
      "outputs": [
        {
          "data": {
            "image/jpeg": 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",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=960x540>"
            ]
          },
          "execution_count": 37,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "shrink_image(Image.open(image_path))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cwuooHQ5trKl"
      },
      "source": [
        "Start with something simple:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "id": "kATdbPcjQjxf"
      },
      "outputs": [
        {
          "data": {
            "text/markdown": [
              "This image is a colorful, hand-drawn sketch note explaining Google Cloud's Pub/Sub service. It defines Pub/Sub as an event-driven asynchronous messaging service and illustrates how it works through a diagram showing messages flowing from a publisher to a subscriber via a topic and subscription. The sketch explores the benefits of using Pub/Sub for stream analytics, including the stages of trigger, ingest, enrich, analyze, and activate. It also showcases different Pub/Sub patterns like many-to-one (fan-in), many-to-many, and one-to-many (fan-out). The image is peppered with small, expressive stick figures that add a friendly and informative touch."
            ],
            "text/plain": [
              "<IPython.core.display.Markdown object>"
            ]
          },
          "execution_count": 38,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "prompt = \"Describe the image in 5 sentences.\"\n",
        "response = generate_content_from_image(prompt, [image_path])\n",
        "Markdown(response)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tNtQuwrm6kZZ"
      },
      "source": [
        "You can also use it to extract information from specific parts of the image:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "id": "fSYrLEe7mkOt"
      },
      "outputs": [
        {
          "data": {
            "text/markdown": [
              "Okay, let's break down the Pub/Sub patterns presented in the image. The section titled \"What are different Pub/Sub patterns?\" shows three distinct patterns.\n",
              "\n",
              "Here are the descriptions, based on what the image visually communicates:\n",
              "\n",
              "1.  **MANY-TO-ONE (FAN-IN):**\n",
              "\n",
              "    *   Multiple publishers send messages to separate topics.\n",
              "    *   Each topic has one subscription.\n",
              "    *   All subscriptions send data to a shared set of subscribers.\n",
              "    *   **Implication:** This pattern allows multiple producers of data to feed into a single processing point or system. For instance, many devices reporting sensor data into a single analytics engine.\n",
              "\n",
              "2.  **MANY-TO-MANY:**\n",
              "\n",
              "    *   Multiple publishers send messages to a single topic.\n",
              "    *   The topic has one subscription.\n",
              "    *   The single subscription sends data to a load balanced group of subscribers.\n",
              "    *   **Implication:** This pattern allows multiple producers to send data to a group of subscribers and load balancing helps to ensure even usage.\n",
              "\n",
              "3.  **ONE-TO-MANY (FAN-OUT):**\n",
              "\n",
              "    *   A single publisher sends messages to a single topic.\n",
              "    *   The topic has multiple subscriptions.\n",
              "    *   Each subscription sends data to its respective subscribers.\n",
              "    *   **Implication:** This pattern allows one source of data to be distributed to multiple, independent consumers. A common use case would be a single event triggering multiple different downstream processes. For example, a user signup event might trigger a welcome email, a CRM update, and a data warehousing job."
            ],
            "text/plain": [
              "<IPython.core.display.Markdown object>"
            ]
          },
          "execution_count": 39,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "prompt = \"Explain the diffrent pub sub patters using the image. Ignore the rest.\"\n",
        "response = generate_content_from_image(prompt, [image_path])\n",
        "Markdown(response)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tE_Fnmf3YFWl"
      },
      "source": [
        "## Slide Decks\n",
        "While most models can receive only a handful images at once, The Gemini Flash model is able to receive up to 3,600 images in a single request. This means that most slide decks can be passed without any splitting to the model.\n",
        "\n",
        "In this case you will use the LLM to create a set of questions that check the knowledge of GCP products:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "id": "dllsT6UFX6GG"
      },
      "outputs": [
        {
          "data": {
            "text/markdown": [
              "Okay, here's a set of questions based on the provided images, covering different Google Cloud Platform (GCP) products and topics.\n",
              "\n",
              "**Image 1: Compute Options (Compute Engine, Kubernetes Engine, Cloud Run, Cloud Functions)**\n",
              "\n",
              "*   **Topic:** Choosing the right compute option\n",
              "*   **Example Question:** \"Your team needs to migrate an existing application that relies on specific kernel modules and requires custom OS configurations. Which compute option is the MOST suitable?\"\n",
              "\n",
              "**Image 2: Cloud Load Balancing**\n",
              "\n",
              "*   **Topic:** Load Balancing options\n",
              "*   **Example Question:** \"Your application is experiencing a surge in traffic, and you need a globally distributed load balancing solution to handle both HTTP and HTTPS requests. Which type of load balancer would you choose?\"\n",
              "\n",
              "**Image 3: Data Transfer Options**\n",
              "\n",
              "*   **Topic:** Data Transfer Services\n",
              "*   **Example Question:** \"You need to transfer a large on-premises data warehouse (multiple terabytes) to BigQuery in Google Cloud, but your network bandwidth is limited. Which service should you consider?\"\n",
              "\n",
              "**Image 4: Compute Options (Compute Engine, Kubernetes Engine, Cloud Run, Cloud Functions)**\n",
              "\n",
              "*   **Topic:** Comparing and contrasting different compute options.\n",
              "*   **Example Question:** \"What is a key difference between Cloud Run and Cloud Functions, in terms of scaling and triggering execution?\""
            ],
            "text/plain": [
              "<IPython.core.display.Markdown object>"
            ]
          },
          "execution_count": 40,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "prompt = \"\"\"\n",
        "  Your job is to create a set of questions to check knowledge of various\n",
        "  gcp products. Write for each image the topic and example question.\n",
        "\"\"\"\n",
        "\n",
        "response = generate_content_from_image(prompt, images[:4])\n",
        "Markdown(response)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "76yDEZwZbPvy"
      },
      "source": [
        "# Summary\n",
        "\n",
        "The Gemini API's great capabilities in processing images such as charts, graphs, and slide decks highlights the power of multimodal LLMs. Thanks to the model's ability to read and understand these visual elements, everyone can unlock great ideas, simplify tasks, and save valuable time.\n",
        "\n",
        "Imagine the impact of leveraging Gemini API to implement AI solutions that describe surroundings for the disabled community, making technology more inclusive and accessible to all.\n",
        "\n",
        "This is just one of the exciting possibilities. Now, it's your turn to explore Gemini further!"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "name": "Working_with_Charts_Graphs_and_Slide_Decks.ipynb",
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}
